Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Nov;145(11):1075-81.
doi: 10.1001/archsurg.2010.225.

Prediction of mortality rate after major hepatectomy in patients without cirrhosis

Affiliations

Prediction of mortality rate after major hepatectomy in patients without cirrhosis

Elie Oussoultzoglou et al. Arch Surg. 2010 Nov.

Abstract

Objective: To assess the ability of preoperative biological parameters to predict a fatal outcome after a major liver resection in patients without cirrhosis.

Design: Retrospective descriptive cohort study.

Setting: Department of Digestive Surgery and Transplantation, University of Strasbourg.

Patients: From January 1, 2004, through December 31, 2007, 67 consecutive patients underwent resection of at least 4 contiguous liver segments.

Main outcome measures: Perioperative data were prospectively recorded, and predictors of postoperative mortality rate and liver failure were analyzed.

Results: Five patients (7%) died after a mean (SD) of 32.4 (11.8) postoperative days. The overall morbidity was 73% (49 patients). Univariate analysis revealed that a preoperative alanine aminotransferase blood level greater than 40 U/L (to convert to microkatals per liter, multiply by 0.0167), a preoperative prothrombin ratio less than 70%, a preoperative Indocyanine green retention rate at 15 minutes of greater than 15%, preoperative biliary drainage, and performance of extrahepatic bile duct resection significantly predict the occurrence of in-hospital death. The number of preoperative biological parameters in each patient significantly increased the mortality rate. Indeed, the mortalities were 0%, 3%, and 67% in patients presenting with none, 1, and 2 or more risk factors, respectively.

Conclusions: This study shows that preoperative liver tests and function can predict postoperative fatal outcome in patients presenting with biliary carcinomas and requiring a major liver resection. On the basis of these preoperative biological parameters, a decision-making algorithm is provided.

PubMed Disclaimer

Comment in

  • Prediction and statistical analysis.
    Braillon A. Braillon A. Arch Surg. 2011 May;146(5):633; author reply 633-4. doi: 10.1001/archsurg.2011.82. Arch Surg. 2011. PMID: 21576621 No abstract available.

MeSH terms